title: Decoding what one likes or dislikes from single-trial fNIRS measurements.
abstract: Recent functional neuroimaging studies have shown the possibility of decoding human mental states from their brain activity using noninvasive neuroimaging techniques. In this study, we applied multivariate pattern classification, in conjunction with a short interval of functional near-infrared spectroscopy measurements of the anterior frontal cortex, to decode whether a human likes or dislikes a presented visual object; an ability that is quite beneficial for a number of clinical and technological applications. A variety of objects comprising sceneries, cars, foods, and animals were used as the stimuli. The results showed the possibility of predicting subjective preference from a short interval of functional near-infrared spectroscopy measurements of the anterior frontal regions. In addition, the pattern localization results showed the neuroscientific validity of the constructed classifier.
authors.affiliation: Department of Psychiatry and Behavioural Sciences, Center for Interdisciplinary Brain Sciences Research, School of Medicine, Stanford University, 401 Quarry Rd., MC 5795, Stanford, CA 94305-5795, USA. hosseiny@stanford.edu
authors.forename: S M Hadi
authors.initials: SM
authors.lastname: Hosseini
authors.forename: Yoko
authors.initials: Y
authors.lastname: Mano
authors.forename: Maryam
authors.initials: M
authors.lastname: Rostami
authors.forename: Makoto
authors.initials: M
authors.lastname: Takahashi
authors.forename: Motoaki
authors.initials: M
authors.lastname: Sugiura
authors.forename: Ryuta
authors.initials: R
authors.lastname: Kawashima
mesh_terms: D000328:Adult; D003071:Cognition / Q000502:physiology*; D003657:Decision Making / Q000502:physiology*; D004644:Emotions / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D010364:Pattern Recognition, Visual / Q000502:physiology*; D011237:Predictive Value of Tests; D017397:Prefrontal Cortex / Q000502:physiology*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D055815:Young Adult